Assembly of Inflammation-Related Genes for Pathway-Focused Genetic Analysis

被引:91
作者
Loza, Matthew J. [2 ]
McCall, Charles E.
Li, Liwu [3 ]
Isaacs, William B. [4 ,5 ]
Xu, Jianfeng [1 ]
Chang, Bao-Li [6 ]
机构
[1] Wake Forest Univ, Bowman Gray Sch Med, Ctr Human Genom, Dept Epidemiol & Prevent, Winston Salem, NC 27109 USA
[2] Wake Forest Univ, Bowman Gray Sch Med, Dept Internal Med, Ctr Human Genom, Winston Salem, NC 27103 USA
[3] Virginia Polytech Inst & State Univ, Dept Biol, Blacksburg, VA 24061 USA
[4] Johns Hopkins Univ, Dept Urol, Inst Med, Baltimore, MD USA
[5] Johns Hopkins Univ, Inst Med, Dept Oncol, Baltimore, MD USA
[6] Wake Forest Univ, Bowman Gray Sch Med, Dept Pediat Med, Ctr Human Genom, Winston Salem, NC USA
来源
PLOS ONE | 2007年 / 2卷 / 10期
关键词
D O I
10.1371/journal.pone.0001035
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Recent identifications of associations between novel variants in inflammation-related genes and several common diseases emphasize the need for systematic evaluations of these genes in disease susceptibility. Considering that many genes are involved in the complex inflammation responses and many genetic variants in these genes have the potential to alter the functions and expression of these genes, we assembled a list of key inflammation-related genes to facilitate the identification of genetic associations of diseases with an inflammation-related etiology. We first reviewed various phases of inflammation responses, including the development of immune cells, sensing of danger, influx of cells to sites of insult, activation and functional responses of immune and non-immune cells, and resolution of the immune response. Assisted by the Ingenuity Pathway Analysis, we then identified 17 functional sub-pathways that are involved in one or multiple phases. This organization would greatly increase the chance of detecting gene-gene interactions by hierarchical clustering of genes with their functional closeness in a pathway. Finally, as an example application, we have developed tagging single nucleotide polymorphism (tSNP) arrays for populations of European and African descent to capture all the common variants of these key inflammation-related genes. Assays of these tSNPs have been designed and assembled into two Affymetrix ParAllele customized chips, one each for European (12,011 SNPs) and African (21,542 SNPs) populations. These tSNPs have greater coverage for these nflammation-related genes compared to the existing genome-wide arrays, particularly in the African population. These tSNP arrays can facilitate systematic evaluation of inflammation pathways in disease susceptibility. For additional applications, other genotyping platforms could also be employed. For existing genome-wide association data, this list of key inflammation-related genes and associated subpathways can facilitate comprehensive inflammation pathway-focused association analyses.
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页数:10
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